Shape morphing technique can accurately predict pelvic bone landmarks

Abstrakt

Diffeomorphic shape registration allows for the seamless geometric alignment of shapes. In this study, we demonstrated the use of a registration algorithm to automatically seed anthropological landmarks on the CT images of the pelvis.

We found a high correlation between manually and automatically seeded landmarks. The registration algorithm makes it possible to achieve a high degree of automation with the potential to reduce operator errors in the seeding of anthropological landmarks.

The results of this study represent a promising step forward in effectively defining the anthropological measures of the human skeleton.

Klíčová slova

• Anthropometry
• CT data
• DSP2 method
• Geometry segmentation
• Non-linear registration